Title: AI/ML & Forward Deployed Engineer
Location: Minnetonka Mills, MN (Day 1 Onsite)
Duration: Long-term Contract
Role Overview
- We are looking for an experienced AI/ML & Forward Deployed Engineer with 8+ years of engineering experience to deliver high-impact AI/ML (and GenAI, where applicable) solutions end-to-end.
- You will blend applied machine learning, software engineering, and stakeholder problem-solving to deploy production-grade systems that are scalable, secure, observable, and aligned to business KPIs.
- This role is ideal for engineers who enjoy operating at the intersection of data + models + systems + real users, and who can thrive in ambiguous, fast-moving environments
Key Responsibilities
Use-Case Discovery & Forward Deployment
- Partner with stakeholders (business/product/customers) to identify and shape AI opportunities into well-defined use cases with success metrics, constraints, and rollout plans.
- Run workshops and technical discovery to assess feasibility, data readiness, integration needs, and operational risks.
- Drive rapid prototyping, pilot deployments, and iterative improvements based on real user feedback.
Applied ML Engineering (Classic ML + Deep Learning)
- Develop and improve ML solutions (classification, regression, ranking, forecasting, anomaly detection, NLP).
- Establish and maintain robust evaluation practices: offline metrics, validation strategies, experimentation, and A/B testing.
- Perform feature engineering, error analysis, model optimization, and performance tuning for production requirements.
GenAI / LLM Engineering (If Applicable)
- Build and productionize RAG (Retrieval-Augmented Generation) pipelines, including document ingestion, chunking strategy, embeddings, retrieval tuning, reranking, and response grounding.
- Implement guardrails and reliability patterns: prompt templates, tool/function calling, hallucination reduction, citation strategies, and fallback paths.
Role Descriptions
- Agentic AI Engineer Preface The Agentic AI Engineer is a hands-on development role at Client (Americas) specializing in building and deploying AI agent solutions for clients.
- As businesses shift toward agentic AI autonomous systems that execute tasks independently roles like AI Agent Engineer have emerged.
- In this client-facing consulting position| youll work in a hybrid environment| delivering cutting-edge AI agents that blend large language models| custom prompts| data sources| and business logic.
- Projects can range from financial chatbots to manufacturing optimizers| requiring advanced prompt engineering| Retrieval-Augmented Generation (RAG)| and strong software skills.
What You Would Be Doing
Develop AI Agents & Applications
- Code the core logic for AI agents| whether standalone or in multi-agent systems| enabling them to answer questions| generate content| or execute transactions.
Coding with LLMs and Tools
- Use Python or similar languages to integrate large language models (LLMs) and external tools (e.g.| APIs| web search| databases).
Prompt Engineering & Optimization
- Craft| refine| and test prompts to guide agent behavior| including fallback strategies for uncertainty.
Implement RAG for Knowledge
- Connect AI agents to vector databases or search indices to ground outputs in up-to-date| domain-specific information.
System Integration & APIs
- Integrate AI agents with external systems (e.g.| travel booking APIs| payment gateways)| handling formatting| RESTful calls| and data responses as needed.
Testing and Iteration
- Simulate agent behavior| identify and fix failure modes| and tune prompts and code for high-quality results.
Deploy AI Solutions
- Package and deploy agent applications (Docker| cloud)| ensuring scalability and proper configuration.
Collaboration & Agile Delivery
- Work with AI Architects| Data Engineers| and UX Developers in agile teams| contributing to sprints and client demos.
Industry-Specific Customization
- Tailor solutions for each industry| adapting compliance| personalization| and integration as needed.
Adhere to AI Ethics & Safety
- Implement guardrails| content moderation| and privacy measures| following TCSs responsible AI guidelines.
What Skills Are Expected
Programming & Software Engineering
- Expertise in Python (and optionally Java| JavaScript| or C#)| unit testing| and version control (Git).
AI/ML Knowledge
- Solid grasp of machine learning and AI concepts| model behavior| and experience with NLP or chatbots.
Prompt Engineering
- Experience crafting and iterating prompts| including few-shot examples and output formatting techniques.
RAG and Data Handling
- Familiarity with embedding models| vector databases| and unstructured data processing.
API and Integration Skills
- Building and consuming RESTful APIs| microservices| and handling JSON/XML data formats.
Data Structures & Algorithms
- Knowledge of lists| dictionaries| trees/graphs| and their application in efficient agent design.
Essential Skills
Key Technology Capabilities
Languages & Frameworks: Mastery of Python for AI/ML| with exposure to JavaScript/TypeScript| FastAPI| or Flask for APIs.
AI/ML Tools: Experience with AI model APIs (OpenAI| Azure OpenAI)| and ML frameworks like PyTorch or TensorFlow.
Agent Development Libraries
- Hands-on with Lang Chain or similar frameworks for prompt management and agent logic.
Databases & Data Access
- Working with SQL| NoSQL| and vector databases (e.g.| Pinecone| Weaviate) for data retrieval.
DevOps & Deployment
- Familiarity with Docker| CI/CD| and cloud deployment (AWS| Azure| GCP| Lambda/Functions).
Version Control & Collaboration
- Proficient with Git and DevOps platforms (GitHub| GitLab| Bitbucket).
Testing Tools
- PyTest| Postman| and AI evaluation methods.
Cloud & Services
- Practical knowledge of cloud AI offerings and environment configuration.
Messaging & Async Processing
- Experience with event-driven workflows (RabbitMQ| Kafka| SQS) is a plus.
Monitoring & Logging
- Implementing logging (Python logging| CloudWatch|
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.