Software Engineer – AI Engineering

Job Title: Software Engineer – AI Engineering
Location: Hyderabad, India
Experience: 4+ Years
Job Type: Full-Time
About Anblicks
Anblicks is a Great Place to Work® Certified™ Data and AI company that enables enterprises to become intelligent, data-driven organizations. We specialize in Data Engineering, Cloud, Analytics, and AI solutions, helping global businesses accelerate innovation and digital transformation.
Position Overview
We are looking for a Software Engineer – AI Engineering with strong full-stack development skills and hands-on experience building AI-powered applications. You will contribute to developing enterprise-grade AI platforms, intelligent agents, and LLM-powered solutions using technologies such as Python, TypeScript, APIs, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and vector databases.
This is a hands-on software engineering role focused on building production-ready AI applications—not a traditional Machine Learning or Data Science position. You will work across frontend, backend, AI integrations, and data pipelines to deliver secure, scalable, and reliable AI solutions.
Key Responsibilities
Develop and maintain full-stack applications, including user interfaces, backend services, REST APIs, and LLM integrations.
Build AI agent workflows using LLMs, prompt engineering, tool/function calling, and structured outputs.
Develop and integrate Model Context Protocol (MCP) servers to connect AI agents with enterprise tools, APIs, and data sources.
Design and enhance RAG pipelines, including data ingestion, chunking, embeddings, vector search, and context retrieval.
Build secure AI platform capabilities, including access controls, policy enforcement, human approvals, and usage monitoring.
Integrate enterprise data sources, semantic layers, business glossaries, and knowledge graphs into AI workflows.
Develop and maintain data pipelines that support AI applications and RAG-based solutions.
Implement automated testing, LLM evaluations, logging, tracing, and monitoring to ensure application quality and reliability.
Follow security and privacy best practices, including PII protection, authentication, authorization, and secrets management.
Collaborate with AI engineers, data engineers, and product teams to deliver scalable solutions.
Document technical components, troubleshoot production issues, and contribute to reusable libraries and engineering best practices.
Required Qualifications
Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent practical experience.
4+ years of professional software engineering experience, with strong backend and full-stack development capabilities.
Proficiency in Python and/or TypeScript/JavaScript with Node.js.
Experience developing user-facing applications using React, Next.js, or similar frontend frameworks.
Strong understanding of REST APIs, backend services, and application integration.
Hands-on experience with LLM APIs such as OpenAI, Anthropic Claude, or Google Gemini, including prompt engineering and tool/function calling.
Working knowledge of RAG architectures, embedding models, vector databases, and frameworks such as LangChain, LangGraph, or LlamaIndex.
Experience with SQL, data pipelines, and data platforms such as Snowflake, Databricks, or dbt.
Familiarity with Git, CI/CD pipelines, Docker, and cloud platforms such as AWS, Azure, or GCP.
Experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or Windsurf.
Strong analytical, problem-solving, communication, and collaboration skills.
Good to Have
Experience with MCP and agent development frameworks such as OpenAI Agents SDK, Claude Agent SDK, CrewAI, or AutoGen.
Exposure to knowledge graphs, ontologies, and semantic technologies such as Neo4j, RDF/SPARQL, or Snowflake Semantic Views.
Familiarity with LLM evaluation and observability tools such as LangSmith, Langfuse, or Ragas.
Understanding of authentication and authorization standards, including OAuth 2.0 and OpenID Connect (OIDC).
Experience with automated testing, application monitoring, distributed systems, and production troubleshooting.
Contributions to personal AI projects, hackathons, or open-source initiatives involving LLMs, AI agents, or RAG.
What We Offer
Opportunities to build production-grade Generative AI and agentic AI solutions.
Exposure to modern AI engineering frameworks, enterprise data platforms, and cloud technologies.
A collaborative engineering environment focused on innovation, learning, and technical excellence.
Opportunities to work on impactful projects for global enterprise clients.
Continuous learning and professional development in emerging AI technologies.
Join Anblicks and help build the next generation of intelligent enterprise applications.

Work arrangement
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