About Us :
Beetexting is a growth stage and VC-backed SaaS company headquartered in the USA with a cutting-edge development center in Hyderabad, India. We are on a mission to build next-gen software products that transform communication with AI. Our team thrives on innovation, passion, and a relentless pursuit of excellence. We are looking for code lovers who are excited to develop groundbreaking products and make a real impact in the market.
Why Join Beetexting?
- We are entrepreneurs. We’re resourceful and positive
- We are innovators. We obsess on helping our customer win.
- We are visionaries. We think deeply about the industry and think way, way ahead.
- We are beelievers. We’re humble. We believe in each other and support one another.
- We are givers. We think of others first.
- We are intentional. We plan.
- We are diligent. We measure outcomes and stay focused on the profitable.
- We are gritty. We execute and we never give up.
Role Details : Position : AI Lead
Location : Hyderabad, Telangana, India
Key Responsibilities :
Spearhead the end-to-end development, deployment, and continuous optimization of cutting-edge AI / ML systems—Generative AI, LLMs / MLLMs, RAG, autonomous agents, and custom MCP servers in productionArchitect and implement scalable Retrieval-Augmented Generation pipelines, multi-modal transformer systems, and autonomous multi-agent frameworks (LangChain, AutoGPT, BabyAGI, NVIDIA NeMo Agents)Lead deep-learning model design and delivery : ANN, CNN, RNN, LSTM / BiLSTM, attention-based Transformers (BERT, GPT, T5, Vision Transformers), GANs, VAEs, Diffusion models, and Mixture-of-Experts architecturesDefine and enforce best practices for prompt engineering, fine-tuning (LlamaIndex, Hugging Face), quantization (INT4, GGUF), pruning, distillation, and advanced inference optimizationsBuild and maintain robust MLOps pipelines : CI / CD (Git, Bitbucket, automated tests), model versioning (MLflow, Hugging Face Hub & LFS), Docker / GPU containerization, Kubernetes / OpenShift orchestration, Terraform infrastructure as codeDesign high-performance data engineering workflows : ETL optimization (Pandas, NumPy, Spark), real-time streaming (Kafka, RabbitMQ), and caching strategies (Redis)Ensure secure, compliant AI deployments by embedding Responsible AI principles (bias mitigation, transparency, privacy), governance frameworks, and regulatory controls.Monitor emerging research (self-supervised pre-training, federated learning, synthetic data, LLMOps) and integrate top innovations into productionCollaborate closely with Product, DevOps, Data Engineering, and Security teams; mentor and guide engineers and data scientists in software engineering and model validation best practicesRequired Qualifications :
Education : Master’s or PhD in AI / ML, Computer Science (AI / ML specialization), Data Science, Mathematics, or related fieldIndustry Experience : 15+ years in AI / ML roles, including 7–10 years hands-on in Generative AI and Deep Learning, plus 5+ years in senior or leadership positionsHands-On Coding & Deployment : Expert at architecting, writing, debugging, deploying, and optimizing production-grade AI / ML code in Python (primary), C++, R, Java / Spring Boot, with strong testing, code-review, and performance-profiling disciplineDeep Learning & Generative AI Frameworks : Advanced usage of PyTorch, TensorFlow, ONNX, GGUF, Hugging Face Transformers & Diffusers; fine-tuning pipelines (LlamaIndex, custom scripts)Large Language & Multimodal Models : Production deployment of LLMs, Multimodal LLMs (vision-language models, cross-modal understanding), RAG systems, and custom MCP A2A servers; embedding management & vector search with Pinecone, Milvus, Chroma, QuadrantAdvanced Model Optimization : Quantization, pruning, distillation, MoE routing, efficient inference strategies, prompt-engineering platforms (LangSmith, PromptFlow)Classical & Advanced ML : Proficiency in regression, decision trees, random forests, SVM; boosting (XGBoost, CatBoost, LightGBM); clustering (K-Means, DBSCAN, hierarchical); RL (Q-Learning, DDPG, PPO); statistical methods and optimization mathComputer Vision & Document Processing : Expertise in OpenCV, PyMuPDF, python-docx / pptx, pytesseract for advanced text / image extraction and analysisCloud & Infrastructure : GPU acceleration (CUDA, cuDNN); AWS (Bedrock, SageMaker), Azure AI Studio & GPU Containers, GCP (Vertex AI, Cloud Run), serverless AI, NVIDIA Triton Inference ServerBackend & APIs : FastAPI, OpenAPI, Django REST Framework, Flask for building and scaling AI microservicesData Engineering & Storage : ETL pipelines, streaming, caching; relational (MySQL, Oracle SQL), NoSQL (MongoDB), vector DBsMLOps & Observability : MLflow, Kubeflow; Docker, Kubernetes, OpenShift; CI / CD (Git, Bitbucket); monitoring with Prometheus, Grafana, OpenTelemetry, Logstash, KibanaSecurity & Compliance : Secure coding, network security, and adherence to GDPR, HIPAA, GxP standardsIndustry Certifications & Research : Must hold at least one recognized AI / ML certification (e.g. AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, Microsoft Certified : Azure AI Engineer Associate) and have published research papers in top-tier AI / ML conferences or journals (NeurIPS, ACM, arXiv, AAAI, JMLR).Good to Have Skills :
PhD-level publications and advanced certifications (Stanford AI, MIT, AWS, Google)Experience with federated learning, synthetic data generation, privacy-preserving ML (differential privacy, homomorphic encryption), and edge / in-device inference (TensorFlow Lite, CoreML)Familiarity with Responsible AI toolkits, model cards / DataCard’s, and AI risk management frameworksSignificant open-source contributions to major AI / ML projectsProven success integrating AI in regulated industries (Texting / Messaging, pharma, healthcare, finance) Industries and disciplines.How to Apply :
If you are a passionate developer who loves coding and thrives in an innovative startup environment, apply now to join our journey in revolutionizing communication!
Apply here or email to join@beetexting.com