Role Overview
We are looking for a talented Forward Deployed AI Engineer with a passion for software engineering, Generative AI, Agentic AI, and enterprise AI transformation. In this client-facing role, you will work directly with customers to design, build, deploy, and scale production-grade AI solutions that solve complex business challenges.
You will act as the bridge between business and technology, partnering with stakeholders to transform organizations through AI-powered applications, intelligent automation, and modern AI platforms.
Key Responsibilities
- Design, develop, and deploy enterprise AI solutions leveraging Generative AI, Agentic AI, LLMs, SLMs, and RAG.
- Work closely with customers to understand business problems and translate them into scalable AI solutions.
- Develop AI-powered applications for conversational AI, intelligent automation, and AI-assisted Software Development Lifecycle (SDLC).
- Build production-ready AI workflows using LangGraph, CrewAI, LangChain, Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, and similar AI platforms.
- Design agent orchestration frameworks integrating enterprise systems, APIs, databases, and external tools.
- Optimize AI solutions for accuracy, latency, scalability, reliability, and cost efficiency.
- Build robust APIs, microservices, and AI services following software engineering best practices.
- Collaborate with Product, Engineering, Data Science, and DevOps teams to deliver enterprise AI platforms.
- Participate in customer workshops, solution design, PoCs, technical discussions, and deployment activities.
- Contribute to continuous improvement by evaluating emerging AI technologies and recommending innovative solutions.
Required Skills & Qualifications
- 7–13 years of experience in Software Engineering, AI Engineering, or Machine Learning.
- Strong programming expertise in Python.
- Hands-on experience with LLMs, Agentic AI, Generative AI, RAG, Prompt Engineering, and AI Agents.
- Experience with AI frameworks such as LangGraph, LangChain, CrewAI, LlamaIndex, or similar orchestration platforms.
- Knowledge of AWS Bedrock, Azure AI Foundry, Google Gemini Enterprise, or equivalent AI platforms.
- Experience with PyTorch, TensorFlow, Hugging Face, or modern AI frameworks.
- Strong understanding of vector databases, embeddings, semantic search, and AI workflows.
- Experience with Docker, Kubernetes, REST APIs, CI/CD, and cloud platforms (AWS, Azure, or GCP).
- Strong communication skills with experience working directly with enterprise clients.
- Experience working in Agile development environments.
Preferred Skills
- Experience with MLOps/LLMOps and AI deployment frameworks.
- Exposure to PEFT, LoRA, QLoRA, or model optimization techniques.
- Knowledge of distributed computing and enterprise AI infrastructure.
Skills Required
- 7-13 years experience in Software Engineering, AI Engineering, or Machine Learning
- Strong programming expertise in Python
- Hands-on experience with LLMs, Agentic AI, Generative AI, RAG, Prompt Engineering, and AI Agents
- Experience with orchestration frameworks such as LangGraph, LangChain, CrewAI, LlamaIndex
- Knowledge of cloud AI platforms (AWS Bedrock, Azure AI Foundry, Google Gemini Enterprise)
- Experience with PyTorch, TensorFlow, and Hugging Face
- Strong understanding of vector databases, embeddings, and semantic search
- Experience with Docker, Kubernetes, REST APIs, CI/CD, and cloud platforms (AWS, Azure, or GCP)
- Strong communication skills and experience working directly with enterprise clients
- Experience working in Agile development environments
- Experience with MLOps/LLMOps and AI deployment frameworks
- Exposure to PEFT, LoRA, QLoRA, or model optimization techniques
- Knowledge of distributed computing and enterprise AI infrastructure
eClerx LLC Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about eClerx LLC and has not been reviewed or approved by eClerx LLC.
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Healthcare Strength — Feedback suggests U.S. employees have access to medical, dental, and vision coverage, with HSA/FSA options and life insurance included. An Employee Assistance Program also appears in the public benefits profile supporting wellbeing.
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Retirement Support — Feedback suggests a 401(k) is part of the U.S. package, with some mentions of an employer match. Retirement provision is consistently cited across company profiles and listings.
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Leave & Time Off Breadth — Feedback suggests paid holidays, sick leave, and PTO are part of the offering, alongside parental leave. Parental leave is also highlighted in public benefits profiles.
eClerx LLC Insights
What We Do
eClerx provides business process management, automation and analytics services to a number of Fortune 2000 enterprises, including some of the world's leading financial services, communications, retail, fashion, media & entertainment, manufacturing, travel & leisure, and technology companies. Incorporated in 2000, eClerx is today traded on both the Bombay and National Stock Exchanges of India. The firm employs 16,000+ people across Australia, Canada, Germany, India, Italy, Netherlands, Philippines, Singapore, Thailand, UK, and the USA.
