6 Python 3.11 Jobs

Responsibilities Implement agentic workflows in Python using an agent framework. Semantic Kernel is preferred. Experience with LangGraph, AutoGen, CrewAI, or equivalent is valuable. Build reliable tool and function calling flows with planning, memory, and conversation orchestration. Develop retrieval pipelines for RAG and hybrid search including ingestion, chunking, embeddings, ranking, query planning, grounding, and caching. Ship agents to production on cloud platforms. Integrate identity, networking, cost controls, and runtime observability. Instrument applications with tracing, metrics, and logs. Establish evaluation workflows using prompt and flow tests for offline, batch, and A/B scenar...

Role- Responsibilities Implement agentic workflows in Python using an agent framework. Semantic Kernel is preferred. Experience with LangGraph, AutoGen, CrewAI, or equivalent is valuable. Build reliable tool and function calling flows with planning, memory, and conversation orchestration. Develop retrieval pipelines for RAG and hybrid search including ingestion, chunking, embeddings, ranking, query planning, grounding, and caching. Ship agents to production on cloud platforms. Integrate identity, networking, cost controls, and runtime observability. Instrument applications with tracing, metrics, and logs. Establish evaluation workflows using prompt and flow tests for offline, batch, and A/B ...

Overview Design, build, and operate production AI agents and tool using Agentic AI frameworks in Python. Own agentic workflows end to end across planning, reasoning, tool calling, retrieval, evaluation, security, and observability. Responsibilities Implement agentic workflows in Python using an agent framework. Semantic Kernel is preferred. Experience with LangGraph, AutoGen, CrewAI, or equivalent is valuable. Build reliable tool and function calling flows with planning, memory, and conversation orchestration. Develop retrieval pipelines for RAG and hybrid search including ingestion, chunking, embeddings, ranking, query planning, grounding, and caching. Ship agents to production on cloud pla...

Company Description Founded in 1993, Techno-Comp Computer Services Pvt. Ltd. is a leading provider of IT systems integration and technology services. With R&D and Application Development centers in the US and India, we deliver high-performance solutions to prominent business brands in Canada, India, and the United States. Our services include application development, quality assurance, digital services, cloud computing, and governance, risk & compliance. We also offer industry-specific recruitment and staffing solutions, driven by our commitment to comprehensive technology solutions and client satisfaction. Primary Skill Set 5- 7 years of software engineering experience, preferably in data-i...

We are looking for an AI Engineer to design, build, and operate production-grade AI agents and tools using modern agentic frameworks in Python . The role involves developing complete agent workflows planning, reasoning, retrieval, tool calling, evaluation, and observability while ensuring secure integration with enterprise systems and data platforms. Location: Bangalore, Gurgaon Budget: 24 lpa Must Have: 46 years of AI/ML or backend experience, including 2+ years in GenAI or agentic solution development . Strong command of Python 3.11+ , with hands-on experience in LangChain/LangGraph. Proficiency in RAG pipelines , vector stores (OpenSearch, pgvector, Pinecone), and observability tools. Sol...

Role Overview As the AI Systems Architect , you'll own the end-to-end design and delivery of production-grade agentic and Generative AI systems. This is a highly hands-on role requiring deep architectural insight, coding proficiency, and an obsession with performance, scalability, and reliability. You'll architect secure, cost-efficient AI platforms on AWS, guide developers through complex debugging and optimization, and ensure all systems are observable, governed, and production-ready. Key Responsibilities Architect Production AI Systems: Design robust architectures for agentic systems (planning, reasoning, tool-calling), GenAI/RAG pipelines, and evaluation workflows. Create detailed design...