or apply directly on Appfollow's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 21 days Appfollow's roles stay open a median of 22 days
- Reposted
- No
- Salary listed
- No 0% of Appfollow's roles list one
- Ghost-job risk at Appfollow
- low 0 stale, 0 reposted of 3 open
- Hiring momentum
- 6 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Appfollow's own lever board since 2026-08-04. Full hiring picture for Appfollow.
About this role
As a Senior AI Engineer on the Product Neuro Forge Team at AppFollow, you will be responsible for developing and deploying AI/ML features that enhance app review management. Your role involves end-to-end ownership of these features, including research, prototyping, and production, while collaborating with backend teams to integrate and optimize product functionality. You will work with both commercial and open-source LLMs, build training pipelines, and contribute to the overall system architecture.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Appfollow as an employer.
What you need
- 5+ years of software development experience; strong production Python (asyncio)
- 3+ years of hands-on ML/NLP experience with models shipped to production
- Practical experience with LLMs: prompt engineering, RAG, fine-tuning open-source models (LoRA/PEFT), working with both commercial APIs and self-hosted models
- Experience building model quality evaluation processes: metrics, eval datasets and pipelines, A/B testing
- Confidence with the PyTorch and Hugging Face ecosystem (transformers, datasets, PEFT)
- Proficiency in FastAPI for API development
Nice to have
- Experience serving open-source LLMs in production (vLLM, TGI, Triton) and working with GPU infrastructure
- Experience with vector databases (e.g. pgvector)
- Experience with agentic and orchestration frameworks (LangChain, LangGraph) and eval/observability tooling (MLflow, Langfuse)
- Experience with data processing pipelines and automation (e.g. Airflow, Prefect)
- Experience with cloud-based services (AWS), NoSQL databases (MongoDB), message brokers (RabbitMQ, Kafka)
What you get
- Full-time remote job
- Paid Vacation and Sick leaves
- Generous social benefits package including health insurance, equipment reimbursement, home office moderation bonus, and many more
- Stock options bonus according to the employee stock ownership plan
- Executive-level visibility into how the company is run and performing
- Support and fast-track onboarding
Worth weighing
- No salary listed
- Remote role limited to EU candidates only
- Vague on specific technologies or frameworks beyond those mentioned
- Potentially high expectations for end-to-end ownership and integration with legacy systems
Summarised from Appfollow's posting. Read the full original.
Listed by Appfollow on their lever job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.