Incedo Inc.
Forward Deployed AI Engineer
Skills
21 days ago
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Important information
Contract type:
Permanent
Location:
San Francisco, CA, USA
Work mode:
Onsite
Published on:
1 October 2026
What they need
About Incedo
Incedo Inc. is a high-growth Digital, Data, and AI Transformation Specialist firm headquartered in New Jersey. We are a long-term strategy execution partner for Fortune 500 enterprises, operating at the intersection of business and technology. We serve clients across 5 key industries: Banking & Payments, Wealth Management, Telecom, Hi-Tech, and Life Sciences.
Incedo delivers ROI from AI @ Scale by leveraging the ‘Power of 3’:
- Deep domain expertise: Deep understanding of industries with an ability to identify and solve specific business problems.
- AI & Data: Integration of Data and AI capabilities with business priorities to deliver impact and ROI
- Engineering & Operations: Excellence in building digital platforms, driving modernization, integration, and tech operations.
Core principles that define the DNA of Incedo are:-
- Business outcome focus: Drive measurable business outcomes by developing a client-first view prioritized against quantifiable, business KPI-driven programs.
- Business and technology intersection: Bring together deep domain, AI, data, and engineering capabilities.
- Build for the long-term: Enable sustained growth by building long-term client relationships with Fortune 500 companies and senior client stakeholders.
- Integrated platform and services: Provide a comprehensive offering of the payables IncedoPay platform and Incedo Lighthouse™ solving specific business problems.
- Cross-functional ‘one’ team: Align multidisciplinary teams including domain, design, data, engineering, and business operations to work towards a collective goal.
- With a team of 4,500+ professionals, we have offices across the U.S., Mexico, Canada, and India.
Job Role:-
We are seeking a highly motivated Forward Deployed AI Engineer who can work closely with clients, business stakeholders, and engineering teams to design, build, and deploy AI-powered solutions in production environments. This role combines the responsibilities of an AI Engineer, Solutions Architect, and Customer-Facing Technical Consultant.
The ideal candidate will have strong experience in Generative AI, LLMs, Agentic AI Systems, Python development, cloud platforms, and customer-facing solution delivery . You will work directly with clients to understand business problems and rapidly build AI applications that create measurable business value.
Key Responsibilities:-
AI & Agentic Systems Development
- Design and develop AI-powered applications using Large Language Models (LLMs).
- Build Agentic AI workflows using frameworks such as:
- LangGraph
- LangChain
- CrewAI
- AutoGen
- Semantic Kernel
- Develop Retrieval-Augmented Generation (RAG) solutions.
- Fine-tune prompts and optimize AI model performance.
- Integrate foundation models from OpenAI, Anthropic Claude, Gemini, Llama, and Azure OpenAI.
Client-Facing Solution Delivery
- Work directly with customers to gather requirements and understand business challenges.
- Translate business needs into scalable AI solutions.
- Conduct technical workshops, demos, and architecture reviews.
- Serve as the trusted technical advisor for AI initiatives.
- Present AI recommendations and solution roadmaps to executive stakeholders.
Required Qualifications:-
Education
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
Experience
- 5+ years of software engineering experience.
- 2+ years of Generative AI and LLM application development.
- Experience delivering customer-facing technical solutions.
- Experience deploying enterprise-scale AI applications.
Preferred Qualifications
- Experience with MCP (Model Context Protocol).
- Experience with AI Coding Assistants such as Cursor, Claude Code, GitHub Copilot.
- Knowledge of AI security and responsible AI practices.
- Experience in Financial Services, Healthcare, or Enterprise Technology domains.
- Hands-on experience with multi-agent orchestration systems.
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