AI/ML Engineer

TechPossible

AI/ML Engineer

Denham Springs, LA
Full Time
Paid
  • Responsibilities

    Benefits:

    401(k) matching

    Health insurance

    Opportunity for advancement

    Paid time off

    Training & development

    TechPossible is seeking a motivated AI/ML Engineer to join our team! At TechPossible, you’ll work alongside a group of dedicated professionals who take pride in delivering high-quality IT and managed services. We support businesses in managing, securing, and maintaining their technology systems, and we do it with a strong commitment to honesty, integrity, and doing things the right way. If you’re passionate about building innovative solutions and want to make a meaningful impact, you’ll feel right at home here.

    Job Summary: The AI/ML Engineer is the core hands-on builder on the AI team. This person writes the code that makes the AI features work — the voice agent prompts, the intent classifiers, the RAG pipelines, the evaluation harnesses, and the integrations that connect AI capabilities to business systems.

    Essential Job Responsibilities: (Including but not limited to)

    Implement AI workflows, including workflow logic, intent classification, entity extraction, and multi-step decision processes

    Build and tune LLM-powered features using OpenAI, Anthropic, and other APIs — including prompt engineering, structured output parsing, and function calling

    Develop NLP/classification systems for routing

    Design and run model evaluations: build test sets, measure accuracy/latency/cost, iterate on prompts and model choices

    Tune confidence thresholds (e.g., 90%/70% auto-vs-human routing) and monitor drift in production

    Integrate AI and workflows with existing enterprise systems

    Implement observability for AI systems, including structured logging, prompt and pipeline tracing, and cost attribution per execution

    Collaborate with cross-functional teams to operationalize and iterate on prompts

    Contribute to code review, technical design docs, and on-call rotations

    Delivers responsive and professional customer support by diagnosing and resolving technical issues, communicating clearly with non-technical users, and ensuring timely follow-up to maintain high levels of customer satisfaction

    Keep up with rapidly evolving technologies, algorithms, and industry trends

    Work closely with business managers and other engineers to align AI strategies with company goals

    Required Qualifications:

    Strong experience and knowledge in Python and TypeScript

    Hands-on LLM API experience: Anthropic Claude, OpenAI, at least one other provider; function calling, JSON mode, streaming

    Prompt engineering as a systematic practice — not ad-hoc wordsmithing, but versioned prompts with test sets and regression checks

    NLP fundamentals: intent classification, NER, embeddings, semantic search (pgvector, Pinecone)

    Create evaluation approaches that define meaningful success metrics, build test datasets, and track performance against client-specific KPIs.

    Model selection tradeoffs: when to use GPT-5 vs. Claude Sonnet vs. Haiku, when to fine-tune, when RAG is the right pattern

    Voice AI

    STT/TTS integration: Deepgram Nova/Aura, Whisper, ElevenLabs

    Real-time streaming audio handling — latency budgets, interruption handling, turn-taking

    Twilio Voice API, SIP trunking concepts, WebRTC awareness

    Software Engineering

    Backend development: REST APIs, async patterns, message queues

    Databases: SQL (PostgreSQL, SQL Server), basic schema design; vector DB basics

    Cloud: Azure (AWS/GCP acceptable), containerization (Docker)

    Git, CI/CD, code review fundamentals

    Preferred Skills: (Not Required)

    MLOps tooling: Langfuse, MLflow, Weights & Biases

    Familiarity with model adaptation techniques, such as fine-tuning (e.g., LoRA, supervised approaches)

    Experience with frameworks: LangChain, LlamaIndex, Pydantic AI — used judiciously, not as a crutch

    Benefits:

    Health Insurance – TechPossible will pay 50% of the employee’s premium

    401k Contribution – TechPossible will match employee contribution up to 3%

    Optional benefits: Dental, Vision, Accident, Critical Illness, Short Term Disability, and Life Insurance.

    Paid Time Off

    Paid Holidays

    Access to Employee Assistance Program

    Company provided health club membership

    Travel reimbursement

    Opportunities for professional development and certification support

    Supportive, team-oriented work environment

    At TechPossible, we speak human, and we deliver results. We embed with your team to take full responsibility for your technology, bringing clarity where there’s complexity and control where there’s risk. Our experts secure, optimize, and manage your systems so they consistently perform at a high level. We don’t just keep things running; we make your technology a reliable driver of growth and a foundation for what’s next.