Machine Learning Engineer

AI Engineer

Experience: 2-6 Years
Job Type: Full-Time

Job Description-

We are looking for a talented AI Engineer with 2-6 years of software engineering experience to design, develop, and deploy AI/ML and Generative AI solutions. The ideal candidate will have hands-on experience with Python, LLMs, RAG pipelines, APIs, vector databases, and cloud technologies, along with a strong interest in building scalable AI-powered applications.

You will work closely with product and engineering teams to develop production-ready AI solutions, integrate LLMs with enterprise applications and internal tools, and continuously improve the performance, reliability, latency, and cost of AI services.

Key Responsibilities-

• Design, develop, test, and deploy AI/ML and Generative AI applications.
• Build and maintain RAG (Retrieval-Augmented Generation) pipelines using embeddings, vector databases, and semantic search.
• Integrate LLMs with internal tools, APIs, databases, and enterprise applications.
• Develop scalable and production-ready backend services using Python and FastAPI.
• Work with LLMs such as OpenAI, Anthropic, Gemini, Llama, Qwen, or other open-source models.
• Develop and optimize prompts, AI workflows, and model evaluation frameworks.
• Implement techniques to improve AI application accuracy, performance, latency, reliability, and cost efficiency.
• Work with vector databases and technologies for embeddings, similarity search, and semantic retrieval.
• Develop and integrate REST APIs and backend services.
• Containerize and deploy AI services using Docker and contribute to deployment on Kubernetes environments.
• Work with cloud platforms such as AWS, Azure, or GCP.
• Use AI frameworks such as LangChain, LlamaIndex, or similar frameworks.
• Collaborate with senior engineers, product managers, and cross-functional teams to translate business requirements into effective AI solutions.
• Participate in testing, debugging, monitoring, and production support of AI services.
• Stay updated with emerging Generative AI, LLM, and AI engineering technologies and evaluate their applicability to business problems.

Required Skills-

• 2-6 years of experience in software development, backend engineering, AI/ML engineering, or a related field.
• Strong programming skills in Python.
• Hands-on experience with Generative AI and LLM-based applications.
• Experience with RAG, embeddings, vector databases, semantic search, and prompt engineering.
• Experience developing REST APIs using Python/FastAPI.
• Familiarity with OpenAI, Anthropic, Gemini, Llama, Qwen, or similar LLM platforms/models.
• Experience with Git, Docker, and software development best practices.
• Understanding of databases, APIs, and backend application development.
• Basic to good understanding of AWS, Azure, or GCP.
• Familiarity with LangChain, LlamaIndex, or equivalent AI frameworks.
• Understanding of AI/LLM evaluation, monitoring, and model optimization is a plus.
• Strong analytical, problem-solving, and communication skills.
• Ability to learn new AI technologies and apply them to real-world business problems.

Good to Have-

• Experience deploying AI applications in production.
• Experience with Kubernetes and cloud-native architectures.
• Knowledge of LLM fine-tuning, function calling/tool use, agents, or multimodal AI.
• Experience with AI observability, evaluation, and monitoring tools.
• Knowledge of CI/CD and MLOps practices.
• Experience working with enterprise applications and integrating AI into existing business workflows.

Education-

• B.Tech / B.E. in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or a related engineering discipline.
• M.Tech in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related engineering discipline.
• Only B.Tech/B.E. or M.Tech candidates will be considered.