AI/ML Software Engineer

Hi,

Please find the below requirement & send the suitable profiles asap.

Role: AI/ML Software Engineer

Location: Plano, TX( 3 days/week onsite)

Duration: long term

Job Summary

Seeking an AI Software Engineer to design and build intelligent, production-grade AI systems and agentic workflows. This role combines strong software engineering skills with hands-on experience in large language models (LLMs), retrieval-augmented generation (RAG), and AI orchestration. You ll work on developing scalable, autonomous solutions that enhance business processes and decision-making across the enterprise.

Key Responsibilities

• Design, build, and maintain agentic workflows and autonomous AI systems.
• Develop, integrate, and deploy AI and LLM-based models into production applications.
• Engineer RAG pipelines, implement semantic search, and manage embeddings using tools like OpenSearch or FAISS.
• Collaborate with cross-functional teams to define requirements and deliver impactful AI-driven solutions.
• Implement orchestration logic for multi-agent systems using frameworks like LangChain, AutoGen, or CrewAI.
• Apply MLOps practices model training, deployment, monitoring, and lifecycle management.
• Optimize performance, ensure reliability, and monitor AI systems in production environments.
• Stay current on advancements in AI, LLMs, and emerging agentic architecture patterns.

Required Skills & Experience

• 5+ years of software engineering experience, preferably in Python or GoLang.
• Proven experience building chatbot applications and RAG pipelines using LLMs.
• Familiarity with semantic search and embedding models (OpenSearch, FAISS).
• Proficiency in AWS cloud services (SageMaker, Bedrock, Lambda, ECS, EKS, Step Functions).
• Strong grasp of AI/ML concepts, prompt engineering, and lifecycle management.
• Experience with APIs, microservices, and cloud-based integration architectures.
• Excellent analytical, problem-solving, and communication skills.
• Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent experience).

Nice to Have

• Experience fine-tuning large language models for domain-specific tasks.
• Awareness of data privacy and compliance best practices, including secure model deployment.
• Familiarity with AWS Step Functions and AI workflow orchestration.
• Understanding of text preprocessing and NLP pipeline techniques.
• Early adoption or integration knowledge of AWS Bedrock Knowledge Bases, Agents, Guardrails, or Amazon Q.
• Experience with hybrid retrieval methods (BM25 + vector fusion, rerankers).

srini

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