Job Description: AI/ML – Senior Programmer Analyst (Exp: 3+ Years to 5 Years)
We are looking for a highly skilled and experienced AI/ML Engineer to join as a Senior Programmer Analyst.
Key Skills: Python, FastAPI, REST APIs, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases,
SQL, AWS Services, Git, Docker, Kafka (integration), Redis.
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Experience should have 3 Years to 5 Years of AI/ML engineering.
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Design, develop, and maintain scalable backend applications using Python and FastAPI.
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Build, enhance, and maintain Retrieval-Augmented Generation (RAG) applications leveraging Large Language Models (LLMs).
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Develop and maintain RESTful APIs for seamless frontend and backend integration.
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Process and ingest documents such as PDFs, HTML files, and other structured/unstructured formats for AI-powered search and retrieval.
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Design and implement document processing pipelines, including document chunking, embedding generation, vector indexing, and retrieval.
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Integrate Large Language Models (LLMs) into enterprise applications to deliver AI-driven business solutions.
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Develop, optimize, and maintain prompt templates to improve response quality, accuracy, and relevance.
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Integrate backend services with internal applications and third-party APIs.
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Utilize Kafka for event-driven data processing and Redis for caching and performance optimization.
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Troubleshoot, debug, and optimize application performance to ensure high availability and reliability.
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Participate in code reviews and adhere to coding standards, best practices, and secure development guidelines.
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Collaborate with QA engineers, business analysts, frontend developers, and cross-functional teams to deliver project requirements.
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Coordinate with dependent teams to understand API specifications, database schemas, and integration requirements.
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Provide production support by investigating, troubleshooting, and resolving application issues in a timely manner.
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Actively participate in Agile ceremonies, including sprint planning, daily stand-ups, backlog refinement, sprint reviews, and retrospectives.
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Understanding on the SDLC.
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Understanding on the Agile methodologies.
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Communication with customer and producing the Daily status report.
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Should have good oral and written communication.
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Should be a good team player.
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Should be proactive and adaptive.
