Placement Services USA, Inc.

Multiple positions available. 1. Architect and implement AI-powered backend systems for analytics and report generation, utilizing large language model (LLM) pipelines for natural language query processing and translation across SQL and openCypher. 2. Design and implement intent-driven query routing and stateful multi-turn execution logic to enable accurate filtering, aggregation, and contextual query refinement within conversational systems. 3. Develop dynamic prompt and context retrieval pipelines using semantic search and embedding-based retrieval techniques, combined with ranking methods to improve system accuracy and preserve business logic consistency. 4. Develop and optimize data pipelines using Python and SQL to support high-throughput data processing, query translation, and validation workflows in low-latency environments. 5. Design and implement backend services based on Model Context Protocol (MCP) to expose structured database tools and enable deterministic query execution across data systems. 6. Develop and implement machine learning models using Python and PySpark on Databricks to support validation, scoring, and optimization of analytics systems. 7. Apply statistical and machine learning techniques across the full lifecycle, including data preprocessing, feature engineering, model development, validation, and deployment, and perform Bayesian hyperparameter optimization to improve model performance, utilizing mlflow for experiment tracking and Git for version control. 8. Design and implement systems for document processing and workflow orchestration using LangChain and LangGraph within production environments. 9. Design and deploy scalable backend system components, including data processing and caching layers using Python and SQL, to support low-latency and high-throughput analytics workflows. 10. Design and implement distributed system optimizations, including caching strategies and event-driven processing using technologies such as Redis and Kafka, to ensure system reliability and performance. 11. Develop data validation and quality assurance mechanisms using machine learning models and statistical techniques to ensure accuracy, consistency, and integrity of data-driven systems. 12. Design and implement identity verification and fraud risk scoring systems by applying patterns from end-to-end ID verification and KYC fraud models, utilizing Python, TensorFlow, AWS, OpenCV, and CUDA, and machine learning libraries such as NumPy, Scikit-learn, Keras, and Pandas to develop, validate, and optimize data quality and risk-scoring mechanisms. Experience must include: a. Implementing intent-driven query routing and stateful multi-turn execution logic to enable accurate filtering, aggregation, and contextual query refinement within chatbot systems. b. Developing dynamic system prompt retrieval pipelines using semantic search and embedding-based retrieval techniques. c. Designing, developing and optimizing AI-powered backend systems, including large language model (LLM) pipelines for natural language query processing and response generation. d. Developing and optimizing data pipelines using Python and SQL. e. Developing Model Context Protocol (MCP) backends to expose structured database tools for deterministic execution. f. Developing and implementing machine learning models using Python, PySpark on Databricks. g. Applying Bayesian Hyperparameter optimization techniques to tune and improve model performance. h. Designing and building prototype systems for document processing and chargeback resolution using LangChain and LangGraph. i. Applying Statistical and machine learning techniques including data preprocessing, feature engineering, model development, validation, and production deployment utilizing mlflow for experiment tracking and Git for Version control. This position requires a Masters (or foreign educ. equiv.) Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field plus one (1) year of experience in the job offered or related occupation. Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line.

Verition Group LLC seeks Developer in New York, NY to design and implement automated IT solutions and real-time tools for Treasury operations, integrating systems and reporting workflows while producing clean code and maintaining technical documentation. Education and Experience Requirements Requires Bachelor's in Electronics Engineering and 5 years of progressively responsible experience building low-latency pipelines with Domain-Driven Design and contract-tested components; developing internal monitoring tools for data validation and SLA alerts; and maintaining high-fidelity technical documentation including Software Architecture Diagrams, API and data flows, and runbooks. Occasional telecommuting permitted. 1 day per week Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line. Thank you.

Will handle the Service Provider, Datacenter, Campus, and Enterprise Customer Solutions; develop and execute automated test cases using Python for networking protocols and use IXIA to develop Data Path and Control Plane Test cases; influence the development team to align with customer expectations with respect to deployment and UX needs; validate networking functionality and performance through automation process protocols such as TCP/IP, Ethernet, Layer 2/3 protocols such as STP, LACP, BGP, BGP EVPN, ISIS, SR, MPLS, L3VPN, and SR; assess Cloud Technologies (AWS, Azure, GCP, OCI), and test and validate Service Provider and Datacenter technologies such as SRv6, VxLAN EVPN, and TRM. Education and Experience Requirements Bachelor's degree in Computer Science, Computer Science and Engineering or related degree plus five years of work experience required. Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line. Thank you.

Member of Technical Staff sought by Tungsten Dev, Inc., Mountain View, CA, to perform the following duties: 1. Designing, developing, and implementing backend services and APIs for an enterprise AI agent orchestration platform using Golang, gRPC, and REST APIs to support reliable, high-throughput execution of LLM-driven agentic workflows for Fortune 500 customers. 2. Architecting and validating high-performance storage and retrieval layers for agent memory, context, and knowledge-base grounding using the Milvus vector database and related embedding-based retrieval systems to power retrieval-augmented generation (RAG) within LLM-driven AI agents. 3. Designing and deploying stateful, long-running AI agent workloads on AWS, including configuring Kubernetes (k8s) persistent volumes backed by NFS and S3 protocols as the primary storage layer for durable agent session state, checkpointing, and on-demand replication across availability zones. 4. Implementing secure inter-service communication across the distributed agent platform by integrating the Go-spiffe library with gRPC to enforce mTLS-based identity and authorization between agent runtimes, tool servers, and MCP (Model Context Protocol) proxies. 5. Building and operating containerized AI microservices including model-invocation gateways, MCP proxy layers, and webhook-driven event processors using FastAPI, Docker containers, and GPU-optimized data pipelines deployed on AWS ECS and AWS Bedrock AgentCore. 6. Performing coding, debugging, and testing of software components across the full stack, including agent runtime services, backend APIs, model-routing layers, and deployment infrastructure on AWS (Bedrock AgentCore, ECS, S3, Terraform). 7. Contributing to the design and development of product features as part of a cross-functional engineering team, including OAuth-based third-party integration abstractions, MCP tool proxies, and webhook-driven event triggers for AI agents. 8. Collaborating with enterprise customers and internal teams to gather requirements, translate business needs into technical designs, and implement features for AI-powered workflow automation. 9. Troubleshooting and resolving technical issues related to AI-powered application functionality and enterprise data integrations, including applying Python, PyTorch, and auto-encoder-based anomaly detection pipelines to monitor agent behavior and identify abnormal execution patterns, and documenting code, processes, and technical specifications to support team knowledge sharing and product maintenance. Education and Experience Requirements This position requires a Masters (or foreign educ. equiv.) Degree in Computer Science, Software Engineering, Computer Engineering or a closely related field plus one (1) year of experience in the job offered or a related occupation. Special Skills Requirements Experience must include: a. Designing and implementing replication engine using Golang, gRPC, REST APIs. b. Designing and validating high-performance unified storage architecture using Milvus vector database. c. Adding support for files as the primary storage for k8s persistent volume with support for ondemand replication. d. Integrating Gospiffe library with gRPC to implement mTLS and secure interservice communication across distributed nodes. e. Using FastAPI, Docker containers and GPU-optimized data pipelines. f. Use of Python, PyTorch, and anomaly detection pipelines. Telecommuting/Remote Work is Permitted May telecommute Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line. Thank you.