Hiring GenAI Engineers📢 Job Title: GenAI Engineer (1–3 Years) Location: Chennai (Onsite Only) Experience: 1–3 Years Employment Type: Full-time Job Description: We are looking for a GenAI Engineer with strong skills in Python and SQL to join our onsite team in Chennai. The candidate should have hands-on experience working with LLMs, Generative AI frameworks, and integrating AI models into applications. Key Responsibilities: Develop, fine-tune, and deploy Generative AI and LLM models. Build and maintain data pipelines using Python and SQL. Design and improve prompt engineering workflows. Integrate AI models using APIs and vector databases. Clean and preprocess datasets for AI and ML use cases. Collaborate with product and engineering teams to build AI features. Monitor model performance and implement improvements. Stay updated with the latest AI and LLM advancements. Required Skills: Strong Python programming skills. Strong SQL skills and ability to write complex queries. Experience with LLMs and Generative AI tools such as OpenAI, HuggingFace, or LangChain. Knowledge of vector databases such as FAISS, Pinecone, or ChromaDB. Experience with RAG pipelines and embeddings. Good understanding of Git and clean coding practices. Good to Have: Experience with Docker, MLOps, and cloud platforms. Exposure to fine-tuning methods like LoRA or QLoRA. Knowledge of basic machine learning concepts. Why Join Us: Opportunity to work on cutting-edge AI and LLM projects. Innovative and fast-paced environment. Strong opportunities for learning and career growth. Interested candidates can also apply at info@kratosolutions.com
Job Title: GenAI Engineer (1–3 Years) Location: Chennai (Onsite Only) Experience: 1–3 Years Employment Type: Full-time Job Description: We are looking for a GenAI Engineer with strong skills in Python, SQL, FastAPI, AWS Bedrock, and model deployment. The candidate should have hands-on experience working with LLMs, Generative AI frameworks, vector databases, and deploying AI workloads on AWS services such as ECS. Key Responsibilities: Develop, fine-tune, and deploy Generative AI and LLM models. Work with AWS Bedrock for model inference, orchestration, and scaling. Build and maintain APIs using FastAPI for AI model integration. Deploy applications and services using AWS ECS or similar container platforms. Build data pipelines and automation workflows using Python and SQL. Implement RAG pipelines, embeddings, and vector search for AI applications. Monitor model performance, optimize inference, and ensure reliability in production. Collaborate with product, data, and engineering teams to deliver AI-powered features. Required Skills: Strong Python programming experience including FastAPI. Strong SQL skills and ability to write optimized queries. Hands-on experience with AWS services such as ECS, Lambda, S3, CloudWatch, and IAM. Experience using AWS Bedrock or other LLM hosting platforms. Knowledge of containerization and deployment using Docker and ECS. Experience with LLMs and GenAI tools such as OpenAI, HuggingFace, and LangChain. Understanding of vector databases such as Pinecone, FAISS, or ChromaDB. Experience with model deployment, scaling, and monitoring. Good to Have: Experience with MLOps workflows. Exposure to fine-tuning methods such as LoRA or QLoRA. Basic understanding of machine learning concepts. Education: B.E, B.Tech, M.Tech, or MCA in Computer Science, IT, Data Science, or related fields. Why Join Us: Opportunity to work on real-world AI and LLM projects using the latest AWS technologies. Growth-oriented and innovation-focused environment. Strong opportunities for skill development and career advancement. Interested Candidates can also apply at info@kratosolutions.com
Job Title: GenAI Architect (68 Years) Location: Chennai (Onsite Only) Experience: 68 Years Employment Type: Full-time Notice Period: Immediate Job Description: We are looking for an experienced GenAI Architect to lead the design, development, and deployment of large-scale Generative AI solutions. The candidate should have strong hands-on expertise in LLMs, cloud architecture, Databricks, and production-grade AI systems built on AWS. Key Responsibilities: Architect and design end-to-end Generative AI platforms and solutions. Define GenAI system architecture including LLM orchestration, RAG pipelines, vector databases, and inference layers. Design data and AI workflows using Databricks for large-scale data processing, feature engineering, and analytics. Lead model selection, evaluation, fine-tuning strategies, and deployment approaches. Design and implement scalable AI services using FastAPI and container-based architectures. Work extensively with AWS services including Bedrock, ECS, EKS, S3, Lambda, IAM, and CloudWatch. Establish best practices for model deployment, monitoring, scaling, and cost optimization. Collaborate with data engineering teams to build lakehouse and AI pipelines on Databricks. Guide and mentor GenAI engineers and ML teams. Ensure security, compliance, reliability, and performance of AI systems in production. Stay updated with advancements in LLMs, GenAI frameworks, and cloud-native AI patterns. Required Skills: Strong experience in Python and system design for AI platforms. Deep expertise in LLMs, Generative AI frameworks, and prompt engineering. Hands-on experience with AWS Bedrock and managed LLM services. Strong knowledge of Databricks, Spark, and lakehouse architecture. Experience designing and deploying RAG architectures and vector search systems. Hands-on experience with FastAPI, Docker, and orchestration using ECS or EKS. Strong understanding of cloud architecture, security, and scalability principles. Good experience with SQL and data modeling. Good to Have: Experience with fine-tuning techniques such as LoRA, QLoRA, and PEFT. Exposure to MLOps workflows and CI/CD pipelines for ML systems. Experience in fintech, enterprise AI, or large-scale data environments. Why Join Us: Opportunity to architect and lead enterprise-scale GenAI platforms. High-impact role with ownership of AI architecture and strategy. Fast-growing, innovation-driven environment with strong career growth. Interested candidates can also send their resumes at [HIDDEN TEXT]