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Job description
As a Forward Deployed Engineer (FDE) in Applied AI, you are the "Agent Engineer" and the primary driver for our customers' most critical AI initiatives. You take initial conversational prototypes and transform them into production ready solutions, owning the end to end engineering lifecycle, including the transition from "Art of the Possible" to real world business value and scalable, secure AI systems. This is a high travel, high impact role focused on leading technical delivery for Conversational AI pilots and establishing the first Customer User Journeys (CUJs) for our largest customers at their sites. This role requires a deep understanding of software engineering, Machine Learning Operations, and cloud infrastructure.
Job responsibilities
Serve as the lead developer for complex Conversational AI and CX applications, transitioning from rapid prototypes to production grade agentic workflows (e.g., multi agent systems, MCP servers) that drive measurable ROI.
Architect and code conversational flows that are not just functional, but optimized for the "connective tissue" between Google s Conversational AI products and customers live infrastructure, including APIs, legacy data silos, and security perimeters.
Build high performance evaluation (Eval) pipelines and observability frameworks to optimize complex agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production grade security and networking.
Identify repeatable field patterns and technical "friction points" in Google s AAI stack, converting them into reusable modules or product feature requests for Engineering teams.
Co build with customer engineering teams to instill Google grade development best practices, ensuring long term project success and high end user adoption.
Minimum qualifications
Bachelor s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
5 years of experience with software development using Python or similar coding languages.
Experience architecting AI systems on cloud platforms (e.g., GCP).
Experience deploying resources via Terraform or similar tools to automate the setup of agents, functions, or networking.
Experience building full stack applications that interact with enterprise IT infrastructures and developing external customer projects.
Preferred qualifications
Master s or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi agent systems using frameworks like ReAct and self reflection.
Experience debugging Agent logic and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real time.
Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations.
Track record of troubleshooting live, high traffic systems during critical windows.
Ability to travel up to 50% of the time.
The pay range for this role is $150k - $200k per annum including any bonuses or variable pay.
Tech Mahindra also offers benefits like
medical
vision
dental
life
disability insurance
paid time off (including holidays, parental leave, and sick leave, as required by law)
Thanks & Regards Tech Mahindra is an Equal Employment Opportunity employer.
We promote and support a diverse workforce at all levels of the company.
All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability.
All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations.
Reasonable accommodations also are available in the hiring process for applicants with disabilities.
Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at
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Worksite address
california, MO, 65018, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.