Process Manager

Posted Yesterday
Be an Early Applicant
Mumbai, Maharashtra, IND
In-Office
Senior level
Analytics
The Role
Design, build, and deploy enterprise-grade AI solutions (LLMs, generative and agentic AI, RAG). Work directly with clients on solution design, PoCs, and production integration using AI frameworks, vector DBs, cloud platforms, and containerized microservices. Provide technical leadership and customer-facing guidance.
Summary Generated by Built In
As a Forward Deployed AI Engineer, you will be at the forefront of our client engagements, working directly with businesses to understand their unique challenges and craft innovative AI solutions. Your expertise will be instrumental in bridging the gap between business needs and technology, enabling organizations to transform through AI-powered applications and intelligent automation. Responsibilities
  • Design, develop, and deploy enterprise-grade AI solutions, leveraging Generative AI, Agentic AI, LLMs, SLMs, and RAG.
  • Collaborate closely with clients to comprehend their business problems and translate them into scalable, production-ready AI solutions.
  • Build AI-powered applications for conversational AI, intelligent automation, and AI-assisted SDLC, ensuring seamless integration with existing systems.
  • Utilize LangGraph, CrewAI, LangChain, and other AI platforms to create robust AI workflows, optimizing for accuracy, latency, scalability, and cost-efficiency.
  • Design and implement agent orchestration frameworks, integrating enterprise systems, APIs, databases, and external tools for seamless AI deployment.
  • Build robust APIs, microservices, and AI services, adhering to software engineering best practices and ensuring high-quality, production-ready code.
  • Collaborate with cross-functional teams, including Product, Engineering, Data Science, and DevOps, to deliver enterprise AI platforms and ensure a smooth customer experience.
  • Participate in customer workshops, solution design sessions, PoCs, and technical discussions, providing expert guidance and insights.
  • Stay abreast of emerging AI technologies and recommend innovative solutions, contributing to the continuous improvement of our AI offerings.
  • Act as a trusted advisor to our clients, providing strategic guidance and thought leadership in the field of AI and its applications.
Qualifications
  • 7-13 years of experience in Software Engineering, AI Engineering, or Machine Learning, with a strong focus on Python programming.
  • Hands-on experience with LLMs, Agentic AI, Generative AI, RAG, Prompt Engineering, and AI Agents, demonstrating a deep understanding of these technologies.
  • Proficiency in AI frameworks such as LangGraph, LangChain, CrewAI, LlamaIndex, and others, with the ability to select and implement the most suitable framework for each project.
  • Knowledge of AI platforms like AWS Bedrock, Azure AI Foundry, Google Gemini Enterprise, and others, ensuring efficient and effective AI deployment.
  • Experience with modern AI frameworks such as PyTorch, TensorFlow, and Hugging Face, staying at the forefront of AI development.
  • Strong understanding of vector databases, embeddings, semantic search, and AI workflows, enabling efficient data management and retrieval.
  • Experience with Docker, Kubernetes, REST APIs, CI/CD, and cloud platforms (AWS, Azure, or GCP), ensuring seamless integration and deployment of AI solutions.
  • Excellent communication skills, with a proven track record of working directly with enterprise clients and delivering exceptional customer experiences.
  • Experience working in Agile development environments, fostering a collaborative and innovative work culture.
  • A passion for AI and its potential, with a desire to stay updated with the latest advancements and contribute to the field's growth.
About the Team

eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience.

eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

Skills Required

  • 7-13 years experience in Software Engineering, AI Engineering, or Machine Learning with strong Python programming focus
  • Hands-on experience with LLMs, Agentic AI, Generative AI, RAG, Prompt Engineering, and AI Agents
  • Proficiency with LangGraph, LangChain, CrewAI, LlamaIndex (selecting and implementing frameworks)
  • Knowledge of 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)
  • Proven experience working directly with enterprise clients and excellent communication skills
  • Experience working in Agile development environments
  • Passion for AI and staying current with AI advancements

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.

  • 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.
  • 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.
  • 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

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Mumbai, Maharashtra
12,544 Employees
Year Founded: 2000

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.

Similar Jobs

In-Office
Mumbai, Maharashtra, IND
12544 Employees
In-Office
Mumbai, Maharashtra, IND
12544 Employees
Hybrid
Mumbai, Maharashtra, IND
12544 Employees
In-Office
Mumbai, Maharashtra, IND
12544 Employees

Similar Companies Hiring

Northslope Thumbnail
Artificial Intelligence • Information Technology • Software • Analytics • Consulting • Generative AI
London, GB
100 Employees
Scotch Thumbnail
Artificial Intelligence • eCommerce • Fintech • Payments • Retail • Software • Analytics
US
35 Employees
Milestone Systems Thumbnail
Artificial Intelligence • Security • Software • Analytics • Big Data Analytics
Lake Oswego, OR
1500 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account